{
 "metadata": {
  "name": "",
  "signature": "sha256:d9f55a646eba67c6bb5e3a8913e7a5a7c920f5e68fdd97c81487f7296f458fbe"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import os\n",
      "import sys\n",
      "os.chdir(\"..\") "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Run IClamp with parameter set C0 with standard parameters"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from runAndPlot import run_c302\n",
      "\n",
      "%matplotlib inline\n",
      "cells, cells_to_stimulate, params, muscles = run_c302('IClamp','C0','',1000,0.05,'jNeuroML',verbose=False,plot_ca=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "********************\n",
        "\n",
        "   Going to generate c302_C0_IClamp and run for 1000 on jNeuroML\n",
        "\n",
        "********************\n",
        "Set default parameters for C0\n",
        "Opened Excel file: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Opened Excel file: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Positioning muscle: MDR01 at (80,-270,80)\n",
        "c302      >>>  Writing generated network to: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C0_IClamp.nml\n",
        "(Re)written network file to: examples/c302_C0_IClamp.nml\n",
        "c302      >>>  Finished simulation of LEMS_c302_C0_IClamp.xml and have reloaded results"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Reloaded data: ['MDR01/0/GenericMuscleCell/caConc', 'ADAL/0/GenericNeuronCell/caConc', 'PVCL/0/GenericNeuronCell/v', 'MDR01/0/GenericMuscleCell/v', 't', 'PVCL/0/GenericNeuronCell/caConc', 'ADAL/0/GenericNeuronCell/v']\n",
        "c302      >>>  All cells: ['PVCL', 'ADAL']\n",
        "c302      >>>  Plotting neuron voltages\n",
        "c302      >>>  Generating plots for: Membrane potentials of 2 neuron(s) (IClamp C0)\n",
        "c302      >>>  Plotting muscle voltages"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Generating plots for: Membrane potentials of 1 muscle(s) (IClamp C0)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAWMAAAEZCAYAAABCe0RGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrAScjM3MSsDJ2MysBP4PH4QlcXDZgxIAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7cac68ad90>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAZEAAAEbCAYAAAAbCrnpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c977e88d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAWkAAAEZCAYAAABVWdSPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c619377d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAZEAAAEbCAYAAAAbCrnpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFJgAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c97722c50>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## List current parameters"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print params.bioparameter_info(\"  \")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "  Known BioParameters:\n",
        "    BioParameter: cell_diameter = 5 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_length = 20 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_specific_capacitance = 1 uF_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_specific_capacitance = 5 uF_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: initial_memb_pot = -50 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_spike_thresh = -20 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_spike_thresh = -20 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_leak_cond_density = 0.002 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_leak_cond_density = 0.1 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_k_slow_cond_density = 1.8 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_k_slow_cond_density = 0.1 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: muscle_ca_simple_cond_density = 1.2 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_ca_simple_cond_density = .2 mS_per_cm2 (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: leak_erev = -50 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: k_slow_erev = -60 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: ca_simple_erev = 40 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: ca_conc_decay_time = 200 ms (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: ca_conc_rho = 0.0002 mol_per_m_per_A_per_s (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_neuron_exc_syn_conductance = 6 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_muscle_exc_syn_conductance = 0.3 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: exc_syn_ar = 1 per_s (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: exc_syn_ad = 50 per_s (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: exc_syn_beta = 0.125 per_mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: exc_syn_vth = -30 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: exc_syn_erev = 0 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_neuron_inh_syn_conductance = 44 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_muscle_inh_syn_conductance = 0.3 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: inh_syn_ar = 1 per_s (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: inh_syn_ad = 50 per_s (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: inh_syn_beta = 0.125 per_mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: inh_syn_vth = -30 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: inh_syn_erev = -80 mV (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_neuron_elec_syn_gbase = 0.000 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: neuron_to_muscle_elec_syn_gbase = 0.0001 nS (SRC: BlindGuess, certainty 0.1)\n",
        "    BioParameter: unphysiological_offset_current = 4 pA (SRC: KnownError, certainty 0)\n",
        "    BioParameter: unphysiological_offset_current_del = 0 ms (SRC: KnownError, certainty 0)\n",
        "    BioParameter: unphysiological_offset_current_dur = 2000 ms (SRC: KnownError, certainty 0)\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Change some parameters and run again (muscle will spike...)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "param_overrides = {\"muscle_k_slow_cond_density\": \".4 mS_per_cm2\",\n",
      "                   \"muscle_ca_simple_cond_density\": \".3 mS_per_cm2\",\n",
      "                   \"muscle_leak_cond_density\": \"0.01 mS_per_cm2\"}\n",
      "\n",
      "run_c302('IClamp','C0','',1000,0.05,'jNeuroML',verbose=False,plot_ca=False,param_overrides=param_overrides)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "********************\n",
        "\n",
        "   Going to generate c302_C0_IClamp and run for 1000 on jNeuroML\n",
        "\n",
        "********************\n",
        "Set default parameters for C0\n",
        "c302      >>>  Setting parameter muscle_leak_cond_density = 0.01 mS_per_cm2\n",
        "c302      >>>  Setting parameter muscle_ca_simple_cond_density = .3 mS_per_cm2\n",
        "c302      >>>  Setting parameter muscle_k_slow_cond_density = .4 mS_per_cm2\n",
        "Opened Excel file: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Opened Excel file: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/../../../CElegansNeuronTables.xls"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Positioning muscle: MDR01 at (80,-270,80)\n",
        "c302      >>>  Writing generated network to: /home/padraig/neuroConstruct/osb/invertebrate/celegans/CElegansNeuroML/CElegans/pythonScripts/c302/examples/c302_C0_IClamp.nml\n",
        "(Re)written network file to: examples/c302_C0_IClamp.nml\n",
        "c302      >>>  Finished simulation of LEMS_c302_C0_IClamp.xml and have reloaded results"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Reloaded data: ['MDR01/0/GenericMuscleCell/caConc', 'ADAL/0/GenericNeuronCell/caConc', 'PVCL/0/GenericNeuronCell/v', 'MDR01/0/GenericMuscleCell/v', 't', 'PVCL/0/GenericNeuronCell/caConc', 'ADAL/0/GenericNeuronCell/v']\n",
        "c302      >>>  All cells: ['PVCL', 'ADAL']\n",
        "c302      >>>  Plotting neuron voltages\n",
        "c302      >>>  Generating plots for: Membrane potentials of 2 neuron(s) (IClamp C0)\n",
        "c302      >>>  Plotting muscle voltages"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "c302      >>>  Generating plots for: Membrane potentials of 1 muscle(s) (IClamp C0)\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAWMAAAEZCAYAAABCe0RGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrAScjM3MSsDJ2MysBP4PH4QlcXDZgxIAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c5e26f150>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAZEAAAEbCAYAAAAbCrnpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c5e276f10>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAWgAAAEZCAYAAAC6m7+xAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c5e3bd650>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAZEAAAEbCAYAAAAbCrnpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c971a1b50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "(['ADAL', 'PVCL'],\n",
        " ['ADAL', 'PVCL', 'MDR01'],\n",
        " <parameters_C0.ParameterisedModel at 0x7f7c5e2ad850>,\n",
        " ['MDR01'])"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    }
   ],
   "metadata": {}
  }
 ]
}